iPhone 16 Plus
Geekbench AI Score
4360
Single Precision Score
4821
Half Precision Score
4673
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
828
154.0 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (Q)
|
96% |
764
142.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3854
62.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4098
66.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3955
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13061
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14577
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14193
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.4 IPS |
|
|
Object Detection (HP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (Q)
|
92% |
1473
117.6 IPS |
|
|
Face Detection (SP)
|
100% |
7115
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
8511
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
7112
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11286
86.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12122
93.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11468
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28856
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32325
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31401
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4252
157.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3781
139.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4212
155.5 IPS |
|
|
Text Classification (SP)
|
100% |
3705
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6268
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6240
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1169
20.2 IPS |
